Yoon-Sik Cho

41 papers A* 9A 2B 1Journal 23Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A conf
ARROW: Adaptive Reasoning for LLM-based Recommendation with Explainability.
WSDM
Woo-Seong Yun, Min-Seong Kim, Yoon-Sik Cho
2026 J jnl
DRGI: Disentangled Representation Graph Infomax for Video Retrieval.
IEEE Access
Seong-Min Kang, Na-Hyun Lee, Ji-Ho Park, Yoon-Sik Cho
2026 J jnl
GCNs meet long-tail: Embedding norm bias in GCN-based recommendations.
Appl. Soft Comput.
Yeojun Choi, Woo-Seong Yun, Chanwoo Jeong, Yoon-Sik Cho
2026 J jnl
Graph Perceiver IO: A general architecture for graph-structured data.
Pattern Recognit.
Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song
2025 A* conf
Beyond Single Emotion: Multi-label Approach to Conversational Emotion Recognition.
AAAI
Yujin Kang, Yoon-Sik Cho
2025 A* conf
Can Personal Health Information Be Secured in LLM? Privacy Attack and Defense in the Medical Domain.
CCS
Yujin Kang, Eunsun Kim, Yoon-Sik Cho
2025 J jnl
Contrastive Disentangled Variational Autoencoder for Collaborative Filtering.
IEEE Access
Woo-Seong Yun, Seong-Min Kang, Yoon-Sik Cho
2025 J jnl
Efficient text augmentation in latent space for video retrieval.
Multim. Tools Appl.
Na-Hyun Lee, Seong-Min Kang, Yoon-Sik Cho
2025 J jnl
Enhancing LLMs for Sequential Recommendation With Reversed User History and User Embeddings.
IEEE Access
Yeojun Choi, Woo-Seong Yun, Yoon-Sik Cho
2025 A* conf
GRIT: Guided Relational Integration for Efficient Multi-Table Understanding.
EMNLP
Yujin Kang, Park Seong Woo, Yoon-Sik Cho
2025 — conf
Leveraging Refined Negative Feedback with LLM for Recommender Systems.
WWW (Companion Volume)
Chanwoo Jeong, Yujin Kang, Yoon-Sik Cho
2025 J jnl
Modeling of Negative Feedback Refined via LLM in Recommender Systems.
IEEE Access
Chanwoo Jeong, Yoon-Sik Cho
2025 A conf
Rethinking Overconfidence in VAEs: Can Label Smoothing Help?
RecSys
Woo-Seong Yun, Yeojun Choi, Yoon-Sik Cho
2024 A* conf
Decoupled Variational Graph Autoencoder for Link Prediction.
WWW
Yoon-Sik Cho
2024 — conf
Improving Contrastive Learning in Emotion Recognition in Conversation via Data Augmentation and Decoupled Neutral Emotion.
EACL (1)
Yujin Kang, Yoon-Sik Cho
2023 J jnl
A Flexible Two-Tower Model for Item Cold-Start Recommendation.
IEEE Access
Won-Min Lee, Yoon-Sik Cho
2023 B conf
A Supervised Autoencoder for Human Activity Recognition with Inertial Sensors.
IEEE Big Data
Jaehyuk An, Younghoon Kwon, Yoon-Sik Cho
2023 — conf
A Unified framework based on Large-scale Momentum Contrastive learning for Text-Video Retrieval.
ICEIC
Eungyeop Kim, Nahyun Lee, Yoon-Sik Cho
2023 J jnl
Application of fairness to healthcare, organizational justice, and finance: A survey.
Expert Syst. Appl.
Pardis Birzhandi, Yoon-Sik Cho
2023 J jnl
Approaching feature matrix: To solve two issues in link prediction.
Expert Syst. Appl.
Yeojun Choi, Yoon-Sik Cho
2023 — conf
Automatic Conversation Turn-Taking Segmentation in Semantic Facet.
ICEIC
Dongin Jung, Yoon-Sik Cho
2023 J jnl
Directed Acyclic Graphs With Prototypical Networks for Few-Shot Emotion Recognition in Conversation.
IEEE Access
Yujin Kang, Yoon-Sik Cho
2023 A* conf
MEME: Multi-Encoder Multi-Expert Framework with Data Augmentation for Video Retrieval.
SIGIR
Seong-Min Kang, Yoon-Sik Cho
2023 J jnl
Topological and Sequential Neural Network Model for Detecting Fake News.
IEEE Access
Dongin Jung, Eungyeop Kim, Yoon-Sik Cho
2023 — conf
Video Retrieval with Tree-Based Video Segmentation.
DASFAA (3)
Seong-Min Kang, Dongin Jung, Yoon-Sik Cho
2022 J jnl
Detecting Documents With Inconsistent Context.
IEEE Access
Dongin Jung, Misuk Kim, Yoon-Sik Cho
2022 J jnl
Detecting incongruent news headlines with auxiliary textual information.
Expert Syst. Appl.
Joonwon Jang, Yoon-Sik Cho, Minju Kim, Misuk Kim
2022 J jnl
Graph Perceiver IO: A General Architecture for Graph Structured Data.
CoRR
Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song
2022 A* conf
Stochastic-Expert Variational Autoencoder for Collaborative Filtering.
WWW
Yoon-Sik Cho, Min-hwan Oh
2021 J jnl
Point of interest recommendations based on the anchoring effect in location-based social network services.
Expert Syst. Appl.
Young-Duk Seo, Yoon-Sik Cho
2020 J jnl
A Hybrid Generative Model for Online User Behavior Prediction.
IEEE Access
Minh-Duc Nguyen, Yoon-Sik Cho
2020 J jnl
A Variational Autoencoder Mixture Model for Online Behavior Recommendation.
IEEE Access
Minh-Duc Nguyen, Yoon-Sik Cho
2020 J jnl
Deep regression neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion in acute ischemic stroke.
Int. J. Comput. Assist. Radiol. Surg.
Minh Nguyen Nhat To, Hyun Jeong Kim, Hong Gee Roh, Yoon-Sik Cho, Jin Tae Kwak
2019 J jnl
A Parallel Community Detection in Multi-Modal Social Network With Apache Spark.
IEEE Access
Yoon-Sik Cho
2016 A* conf
Latent Space Model for Multi-Modal Social Data.
WWW
Yoon-Sik Cho, Greg Ver Steeg, Emilio Ferrara, Aram Galstyan
2015 J jnl
Latent Space Model for Multi-Modal Social Data.
CoRR
Yoon-Sik Cho, Greg Ver Steeg, Emilio Ferrara, Aram Galstyan
2014 — ch.
Mixed Membership Blockmodels for Dynamic Networks with Feedback.
Handbook of Mixed Membership Models and Their Applications
Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan
2014 A* conf
Where and Why Users "Check In".
AAAI
Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan
2013 J jnl
Latent Point Process Models for Spatial-Temporal Networks
CoRR
Yoon-Sik Cho, Aram Galstyan, P. Jeffrey Brantingham, George E. Tita
2011 A* conf
Co-Evolution of Selection and Influence in Social Networks.
AAAI
Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan
2011 J jnl
Co-evolution of Selection and Influence in Social Networks
CoRR
Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan